



'''simple docstring'''


from typing import TYPE_CHECKING

import torch

from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
						from PIL import Image




class   __UpperCamelCase							(_UpperCAmelCase      ):
	__A      	=       """dandelin/vilt-b32-finetuned-vqa"""
	__A      	=       (
	    """This is a tool that answers a question about an image. It takes an input named `image` which should be the """
	    """image containing the information, as well as a `question` which should be the question in English. It """
	    """returns a text that is the answer to the question."""
	)
	__A      	=       """image_qa"""
	__A      	=       AutoProcessor
	__A      	=       AutoModelForVisualQuestionAnswering

	__A      	=       ["""image""", """text"""]
	__A      	=       ["""text"""]







	def __init__(     self			,					*_lowerCAmelCase			,					**_lowerCAmelCase    )     ->     Optional[int]:
							'''simple docstring'''






							requires_backends(self			,					["""vision"""]    )
							super().__init__(*_lowerCAmelCase			,					**_lowerCAmelCase    )







	def 	_a (     self			,					_lowerCAmelCase			,					_lowerCAmelCase    )     ->     Dict:
							'''simple docstring'''






							return self.pre_processor(_lowerCAmelCase			,					_lowerCAmelCase			,					return_tensors="""pt"""    )







	def 	_a (     self			,					_lowerCAmelCase    )     ->     str:
							'''simple docstring'''






							with torch.no_grad():
													return self.model(**_lowerCAmelCase    ).logits







	def 	_a (     self			,					_lowerCAmelCase    )     ->     int:
							'''simple docstring'''






							lowercase   =				outputs.argmax(-1    ).item()
							return self.model.config.idalabel[idx]










"""simple docstring"""


def        UpperCAmelCase      (					a__     ,      a__ ):





						'''simple docstring'''






						lowerCAmelCase   :Tuple						=			len(a__ )
						print('The following activities are selected:' )

						# The first activity is always selected
						lowerCAmelCase   :Dict						=			0
						print(a__     ,      end=',' )

						# Consider rest of the activities
						for j in range(a__ ):
												# If this activity has start time greater than
												# or equal to the finish time of previously
												# selected activity, then select it
												if start[j] >= finish[i]:
																		print(a__     ,      end=',' )
																		lowerCAmelCase   :List[str]						=			j


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		__SCREAMING_SNAKE_CASE   =   [1, 3, 0, 5, 8, 5]
		__SCREAMING_SNAKE_CASE   =   [2, 4, 6, 7, 9, 9]
		print_max_activities(start, finish)